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Fast global motion estimation using iterative least-square estimation technique

conference contribution
posted on 2023-02-07, 23:32 authored by G Sorwar, Manzur MurshedManzur Murshed, L Dooley
Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classification/indexing, and mosaicing. The main difficulty in global motion parameter estimation resides in the disturbances due to the independently moving objects. The Iterative Least-Square Estimation (ILSE) technique [1] is commonly used in estimating a four-parameter model of global motion. In this paper, a Modified ILSE (MILSE) technique is developed, which is capable of estimating the parameters with any number of macroblocks without considering them in order of rows and columns. The performance of the MILSE algorithm is analyzed and quantitatively and qualitatively compared with the ILSE technique. Experimental results show that the proposed technique is not only computationally fast but also robust to the disturbance caused by independently moving objects.

History

Volume

1

Pagination

282-286

Location

SINGAPORE, Singapore

Start date

2003-12-15

End date

2003-12-18

ISBN-13

9780780381858

ISBN-10

0780381858

Language

English

Title of proceedings

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Event

Joint Conference of the 4th International Conference on Information, Communications and Signal Processing/4th Pacific-Rim Conference on Multimedia (ICICS-PCM 2003)

Publisher

IEEE